The main objective of this research is “megacity modeling”. Reconstructing 3D structure is one of the fundamental issues of computer vision community. Several novel methods showed reasonable results, but the target of most researches was the object reconstruction in small-scale environment. Recently, the main issue of the 3D reconstruction has been change…

1. Purpose of project. Developing self-localization technology for mobile surveillance robot. To track and follow people or objects, mobile robot should have self-localization and self-driving related algorithms. In this research, we propose a sensor-fusion based self-localization system that can be applied to intelligence robots on outsid…

1. Aim : Foreground / Background Segmentation in a Multi-view Camera System
The project assigned to KAIST develops an algorithm for ex-tracting interest objects from natural, dynamic scenes taken by movable PYZ cameras. About 40 digital-controlled cameras distribute on a hemispherical stadium, and focus on players. The ideal algorithm comp…

Ⅰ. Title Development of robust vision technology for object recognition and shape modeling of intelligent robots Ⅱ. Objectives This research aims the development of robust and stable robot vision technology for object recognition and its real-time implementation. Furthermore, the robustness and usefulness of the developed technology is…

Developing Detection and Tracking Algorithm Working on a Mobile Robot .
Our goal is to develop algorithms that we can apply on mobile robots, but currently we focus on algorithms for static camera in order to form our fundamental structure.
Detection
When detecting object, we need to consider nois…